RECONSTRUCTING VAGAL ANATOMY

重建迷走神经解剖结构

• 批准号: 10723186
• 负责人: Andrew Shoffstall
• 金额: $ 521.44万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-09 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10723186
• 关键词: Anatomy; Area; Clinical; Computer Models; Cranial Nerves; Data; Data Analyses; Development; Ensure; Evaluation; Fiber; Human; Image; Length; Nerve; Operative Surgical Procedures; Phenotype; Positioning Attribute; Regulation; Resolution; Safety; Sample Size; Seeds; Site; Time; Tissue Sample; Translating; Vagus nerve structure; Validation; Viscera; Work; base; data visualization; design; experience; high resolution imaging; imaging modality; improved; interest; model design; morphometry; neuroregulation; novel; novel therapeutics; repository; tractography; vagus nerve stimulation

The vagus nerve (VN) innervates the viscera, and it is responsible for regulating their functions. Mapping the VN with the latest high-resolution imaging modalities has tremendous potential to improve the safety and efficacy of existing autonomic neuromodulation therapies and to inform design of new therapies to target or avoid specific vagal fibers. We will conduct the most comprehensive mapping of the VN to date, from the perspectives of sample size, range of imaging modalities, lengths of nerve, and imaging resolutions. We will establish a neuroanatomical repository for the vagal tissue samples, and we will validate and leverage the imaging data in computational models of vagus nerve stimulation (VNS). This work will seed and accelerate the development of novel neuromodulation therapies for autonomic regulation. We assembled an outstanding cross-cutting and experienced team that allows us to meet all the RFP criteria and exceed them in several critical areas. We will obtain high resolution data on fiber tractography, morphometry, and phenotyping using nine established and novel imaging modalities. We will focus on evaluation at justified regions of interest (ROIs; Table 1), selected based on established clinical neuromodulation sites, potential for improved selectivity (activation of target fibers and avoidance of off-target fibers), major anatomical landmarks, and surgical accessibility. We will set up and leverage our Data Analysis and Visualization Epicenter (DAVE) to ensure data validation, rigor, and timely dissemination. In our prior work, we have collected neuro-anatomical data, used these data to construct realistic computational models, designed novel cranial nerve stimulation paradigms, and translated them to humans. We are thus uniquely positioned to collect the REVA data and ensure that the data will enable development of new vagal neuromodulation therapies.

迷走神经（VN）支配内脏，并且其负责调节内脏的运动。 功能协调发展的用最新的高分辨率成像模式映射VN具有巨大的潜力，可以提高现有自主神经调节疗法的安全性和有效性，并为靶向或避免特定迷走神经纤维的新疗法的设计提供信息。我们将从样本量、成像方式范围、神经长度和成像分辨率等角度进行迄今为止最全面的VN标测。我们将建立一个迷走神经组织样本的神经解剖学知识库，我们将验证和利用迷走神经刺激（VNS）的计算模型中的成像数据。这项工作将种子和 加速自主调节的新型神经调节疗法的发展。我们组建了一支优秀的跨领域和经验丰富的团队，使我们能够满足所有RFP标准，并在几个关键领域超越它们。我们将获得高分辨率的数据纤维束成像，形态测量学和表型使用九个既定的和新的成像方式。我们将重点评价合理的感兴趣区域（ROI;表1），根据已建立的临床神经调节部位选择，改善选择性的潜力（靶纤维的激活和脱靶纤维的避免），主要解剖结构 标志和手术可及性。我们将建立并利用我们的数据分析和可视化中心（DAVE），以确保数据的有效性，严谨性和及时传播。在我们之前的工作中，我们收集了神经解剖数据，使用这些数据构建真实的计算模型，设计了新颖的脑神经刺激范例，并将其翻译给人类。因此，我们在收集REVA数据方面处于独特的地位，并确保这些数据能够开发新的迷走神经调节疗法。